Advances in Generative AI for Design and Visualization

The field of generative AI is rapidly advancing, with a focus on improving design and visualization capabilities. Recent developments have enabled the generation of high-quality 3D scenes, images, and other visual content, with increased control over spatial compositions and styles. Interactive systems, such as those leveraging 3D virtual canvases, are being developed to empower users with precise spatial manipulation and editing capabilities. Additionally, research is exploring the application of generative AI in various domains, including cartography, product design, and strategic plan development. Noteworthy papers in this area include HOLODECK 2.0, which introduces a vision-language-guided framework for 3D world generation with interactive scene editing, and Canvas3D, which enables precise spatial control for image generation with constraints from a 3D virtual canvas. These advancements have the potential to significantly impact various industries and applications, from gaming and virtual reality to urban planning and decision-making.

Sources

HOLODECK 2.0: Vision-Language-Guided 3D World Generation with Editing

ThematicPlane: Bridging Tacit User Intent and Latent Spaces for Image Generation

Improving the Developer Experience with a Low-Code Process Modelling Language

Canvas3D: Empowering Precise Spatial Control for Image Generation with Constraints from a 3D Virtual Canvas

SketchConcept: Sketching-based Concept Recomposition for Product Design using Generative AI

Generative AI for Strategic Plan Development

Envisioning Generative Artificial Intelligence in Cartography and Mapmaking

Affordances of Sketched Notations for Multimodal UI Design and Development Tools

Mental Effort Estimation in Motion Exploration and Concept Generation Design Tasks using Inter-Band Relative Power Difference of EEG

Why Report Failed Interactions With Robots?! Towards Vignette-based Interaction Quality

MapLibre Tile: A Next Generation Vector Tile Format

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